{"id":"W1576647613","doi":"10.1002/cbm.1853","title":"A comparison of scoring models for computerised mental health screening for federal prison inmates","year":2013,"lang":"en","type":"article","venue":"Criminal Behaviour and Mental Health","topic":"Psychopathy, Forensic Psychiatry, Sexual Offending","field":"Psychology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shared Services Canada; University of Toronto; Ministry of Community Safety and Correctional Services; University of Ottawa; Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research; China Scholarship Council","keywords":"Mental health; False positive paradox; Prison; Medicine; Psychiatry; Psychology; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08235142,0.002165241,0.002305773,0.006188003,0.0010304,0.004022929,0.002813469,0.001787682,0.002218636],"category_scores_gemma":[0.1399363,0.001080346,0.003524087,0.002694021,0.00112051,0.002358983,0.002295042,0.002359122,0.0007271854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007008649,"about_ca_system_score_gemma":0.004239113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04110795,"about_ca_topic_score_gemma":0.02106639,"domain_scores_codex":[0.97129,0.0230404,0.001401527,0.001273196,0.002099452,0.0008954616],"domain_scores_gemma":[0.7410534,0.2296355,0.006783744,0.004450931,0.01593977,0.002136616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0111337,0.001709933,0.2853492,0.0009924959,0.003340402,0.0001895993,0.001641898,0.4514757,0.0005378887,0.005367037,0.007131289,0.2311309],"study_design_scores_gemma":[0.0001669977,0.000946807,0.02887791,0.000163126,0.0002359841,0.00006646399,0.0003252455,0.9663476,0.0001634321,0.002316847,0.000316587,0.00007297935],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8846166,0.001749261,0.1017238,0.001317398,0.0003311049,0.002480548,0.001484218,0.001391788,0.00490519],"genre_scores_gemma":[0.9515721,0.0004094008,0.04468187,0.0001470785,0.00004405833,0.0008612972,0.001328353,0.00009898718,0.0008568408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08235142,"threshold_uncertainty_score":0.4355211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.140137576765989,"score_gpt":0.438877129105888,"score_spread":0.298739552339899,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}